Intel, Cisco Collaboration Delivers Industry’s First Systems Approach for AI Workloads at the Edge

Intel and Cisco Introduce a Unified AI Infrastructure for the Edge

Cisco Unified Edge, powered by Intel Xeon 6 system-on-chip (SoC), presents an advanced AI infrastructure designed for future demands. This solution enhances performance and security while decreasing network load by enabling real-time AI inferencing directly at the data source.

Expanding the Edge as a Computation Frontier

The edge is rapidly becoming a crucial area for computing due to rising needs for agentic and physical AI workloads. Businesses across various sectors such as retail, manufacturing, and healthcare now need more flexible and scalable infrastructures capable of managing data closer to its origin.

Innovative Collaboration for Distributed AI Workloads

Cisco and Intel have jointly developed a unique integrated platform that advances distributed AI processing. By integrating compute, networking, storage, and security components, this platform brings critical infrastructure closer to the data at the edge, enabling immediate AI-driven insights and complex workload management.

“A systems approach to AI infrastructure – one which integrates hardware, software and an open ecosystem – is essential to the future of compute, from the smallest edge device to the most complex data center,” said Sachin Katti, Chief Technology and AI Officer and General Manager of Intel’s Network and Edge Group.
“Together with Cisco, we’re redefining what’s possible: delivering a unified, secure, and scalable infrastructure that is purpose-built to handle the next decade of complex AI workloads generating real-time intelligence where it is needed most.”

Key Advantages of the Platform

This collaboration marks a significant step toward creating a comprehensive AI environment designed to meet evolving industry needs at the edge.

Author’s summary: Intel and Cisco's joint platform introduces a scalable, secure AI system that processes real-time data at the edge, revolutionizing infrastructure adaptability for diverse industries.

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Intel Newsroom Intel Newsroom — 2025-11-06